Performance of Machine Learning Techniques for Meteorological Drought Forecasting in the Wadi Mina Basin, Algeria

Performance of Machine Learning Techniques for Meteorological Drought Forecasting in the Wadi Mina Basin, Algeria

Water resources, land and soil degradation, desertification, agricultural productivity, and food security are all adversely influenced by drought. The prediction of meteorological droughts using the standardized precipitation index (SPI) is crucial for water resource management. The modeling results...

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Bibliographic Details
Main Authors: Mohammed Achite, Nehal Elshaboury, Muhammad Jehanzaib, Dinesh Kumar Vishwakarma, Quoc Bao Pham, Duong Tran Anh, Eslam Mohammed Abdelkader, Ahmed Elbeltagi
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Water
Subjects:
meteorological drought
semi-arid regions
support vector machine
additive regression
bagging
random subspace
Online Access:https://www.mdpi.com/2073-4441/15/4/765

Internet

https://www.mdpi.com/2073-4441/15/4/765

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